Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
In this paper, we investigate the feasibility of using graph-based descriptions to learn the view structure of 3D objects. The graphs used in our study are constructed from the De...
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...